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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

The “human-in-the-loop” safety net

HITL is essentially a feedback loop where humans oversee the work to refine the model. The goal is transparency and ...
ITWeb Africa

Data readiness is the silent barrier to AI success: five priorities for the C-suite

According to Daniel Acton, chief technology officer at Accelera Digital Group, the sophisticated use cases promised by AI ...

Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

MemRL outperforms RAG on complex agent benchmarks without fine-tuning

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025)

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

Pharmacy professor develops AI model to predict hospitalization of at-risk cardiac patients

When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...

A Look At General Electric’s Valuation As Earnings Expectations And Contract Wins Support Optimism

General Electric (GE) stock is in focus as investors look ahead to GE Aerospace’s fourth quarter 2025 earnings, with sentiment shaped by recent contract wins, operational investments, and past ...